Spaces:
Running
Running
Create app.py
Browse files
app.py
ADDED
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import gradio as gr
|
2 |
+
from transformers import AutoProcessor, AutoModel
|
3 |
+
import scipy
|
4 |
+
|
5 |
+
|
6 |
+
processor = AutoProcessor.from_pretrained("suno/bark-small")
|
7 |
+
model = AutoModel.from_pretrained("suno/bark-small")
|
8 |
+
|
9 |
+
def run_bark():
|
10 |
+
inputs = processor(
|
11 |
+
text=["Hello, my name is Suno. And, uh — and I like pizza. [laughs] But I also have other interests such as playing tic tac toe."],
|
12 |
+
return_tensors="pt",
|
13 |
+
)
|
14 |
+
|
15 |
+
speech_values = model.generate(**inputs, do_sample=True)
|
16 |
+
|
17 |
+
sampling_rate = model.config.sample_rate
|
18 |
+
scipy.io.wavfile.write("bark_out.wav", rate=sampling_rate, data=speech_values.cpu().numpy().squeeze())
|
19 |
+
return ("bark_out.wav")
|
20 |
+
|
21 |
+
with gr.Blocks() as app:
|
22 |
+
out_audio = gr.Audio()
|
23 |
+
go_btn = gr.Button()
|
24 |
+
|
25 |
+
go_btn.click(run_bark,None,out_audio)
|
26 |
+
|
27 |
+
app.launch()
|